
<h1><span class="yiyi-st" id="yiyi-13">numpy.matrix.prod</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.matrix.prod.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.matrix.prod.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="method">
<dt id="numpy.matrix.prod"><span class="yiyi-st" id="yiyi-14"> <code class="descclassname">matrix.</code><code class="descname">prod</code><span class="sig-paren">(</span><em>axis=None</em>, <em>dtype=None</em>, <em>out=None</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/matrixlib/defmatrix.py#L653-L684"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-15">返回给定轴上的数组元素的乘积。</span></p>
<p><span class="yiyi-st" id="yiyi-16">有关完整文档，请参阅<a class="reference internal" href="numpy.prod.html#numpy.prod" title="numpy.prod"><code class="xref py py-obj docutils literal"><span class="pre">prod</span></code></a>。</span></p>
<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-17">也可以看看</span></p>
<p class="last"><span class="yiyi-st" id="yiyi-18"><a class="reference internal" href="numpy.prod.html#numpy.prod" title="numpy.prod"><code class="xref py py-obj docutils literal"><span class="pre">prod</span></code></a>，<a class="reference internal" href="numpy.ndarray.prod.html#numpy.ndarray.prod" title="numpy.ndarray.prod"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.prod</span></code></a></span></p>
</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-19">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-20">与<a class="reference internal" href="numpy.ndarray.prod.html#numpy.ndarray.prod" title="numpy.ndarray.prod"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.prod</span></code></a>相同，除非返回<a class="reference internal" href="numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray"><code class="xref py py-obj docutils literal"><span class="pre">ndarray</span></code></a>，这会返回<a class="reference internal" href="numpy.matrix.html#numpy.matrix" title="numpy.matrix"><code class="xref py py-obj docutils literal"><span class="pre">matrix</span></code></a>对象。</span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-21">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">matrix</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">12</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">)));</span> <span class="n">x</span>
<span class="go">matrix([[ 0,  1,  2,  3],</span>
<span class="go">        [ 4,  5,  6,  7],</span>
<span class="go">        [ 8,  9, 10, 11]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">prod</span><span class="p">()</span>
<span class="go">0</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="go">matrix([[  0,  45, 120, 231]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="go">matrix([[   0],</span>
<span class="go">        [ 840],</span>
<span class="go">        [7920]])</span>
</pre></div>
</div>
</dd></dl>
